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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI12 de jun de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200633262-3337

  • Role Number:  200633262-3337
  • Weekly Hours: 40 Hours

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• Machine Learning Engineer, Apple Intelligence Data Platform - Proactive

  Machine Learning and AI12 de jun de 2026

  LocationSeattle

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  • ShareMachine Learning Engineer, Apple Intelligence Data Platform - Proactive 200667935-3337

  • Role Number:  200667935-3337
  • Weekly Hours: 40 Hours

  Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we’d love to hear from you. We’re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple’s ecosystem — including Siri Suggestions, the Shortcuts app, and more — by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, D...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Machine Learning and AI09 de jun de 2026

  LocationVarious Locations within Seattle Metro Area

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  • ShareSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449

  • Role Number:  200667449
  • Weekly Hours: 40 Hours

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning and AI27 de may de 2026

  LocationSeattle

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  • ShareAIML Researcher/Engineer - Foundation Model Post-Training 200662944-3337

  • Role Number:  200662944-3337
  • Weekly Hours: 40 Hours

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Machine Learning and AI14 de may de 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer, Apple Search & Knowledge Platforms 200641779-3337

  • Role Number:  200641779-3337
  • Weekly Hours: 40 Hours

  The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge...

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• Staff Applied Scientist, AI Quality & Meta Evaluation

  Machine Learning and AI04 de may de 2026

  LocationSeattle

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  • ShareStaff Applied Scientist, AI Quality & Meta Evaluation 200661039-3337

  • Role Number:  200661039-3337
  • Weekly Hours: 40 Hours

  Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them.

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• AIML - Site Lead & Lead Researcher, Foundation Models

  Machine Learning and AI15 de abr de 2026

  LocationSeattle

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  • ShareAIML - Site Lead & Lead Researcher, Foundation Models 200658199-3337

  • Role Number:  200658199-3337
  • Weekly Hours: 40 Hours

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AI Experience Researcher, Product Evaluation, Vision Products Group

  Machine Learning and AI01 de abr de 2026

  LocationSeattle

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  • ShareAI Experience Researcher, Product Evaluation, Vision Products Group 200655171-3337

  • Role Number:  200655171-3337
  • Weekly Hours: 40 Hours

  We are seeking a highly motivated and analytical AI Experience Researcher to join our team. This role blends cognitive and human sciences, data sciences, systems design, and product evaluation to ensure AI-powered products deliver exceptional and intuitive customer experiences. You will work alongside a small but impactful team, collaborating with ML and data scientists, software engineers, designers, project managers, and other cross-functional teams at Apple to define success criteria for AI experiences, and create rigorous evaluations that measure these criteria in iterative product deve...

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• Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

  Machine Learning and AI01 de abr de 2026

  LocationSeattle

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  • ShareSenior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms 200648349-3337

  • Role Number:  200648349-3337
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. You will lead the strong team of MLE, SWE, and data engineers responsible f...

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• AIML - Machine Learning Researcher, DMLI- Image/Video Generation

  Machine Learning and AI31 de mar de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, DMLI- Image/Video Generation 200601297-3337

  • Role Number:  200601297-3337
  • Weekly Hours: 40 Hours

  We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and del...

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• AIML - Machine Learning Engineer - Computer Vision & Audio, MIND

  Machine Learning and AI17 de mar de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer - Computer Vision & Audio, MIND 200649665-3337

  • Role Number:  200649665-3337
  • Weekly Hours: 40 Hours

  The Machine Intelligence, Neural Design (MIND) team, part of Apple’s AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects. We are seeking a hands-on Machine Learning Engineer to drive the data & evaluation lifecycle for our production models. In this role, you will focus on designing and scaling high-performa...

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• Machine Learning Safety: Evaluation Research Engineer

  Machine Learning and AI16 de mar de 2026

  LocationSeattle

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  • ShareMachine Learning Safety: Evaluation Research Engineer 200651943-3337

  • Role Number:  200651943-3337
  • Weekly Hours: 40 Hours

  This role supports the design and development of safety evaluation methodologies for generative and agentic AI features that enable users across the globe to interact with our media products and services.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Machine Learning and AI12 de mar de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-3337

  • Role Number:  200648559-3337
  • Weekly Hours: 40 Hours

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning Engineer, MIND

  Machine Learning and AI11 de mar de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, MIND 200651341-3337

  • Role Number:  200651341-3337
  • Weekly Hours: 40 Hours

  As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafti...

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• Machine Learning Engineer - Special Projects

  Machine Learning and AI11 de mar de 2026

  LocationSeattle

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  • ShareMachine Learning Engineer - Special Projects 200651094-3337

  • Role Number:  200651094-3337
  • Weekly Hours: 40 Hours

  We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• ML Applied Scientist, Apple Services Engineering AI/ML

  Machine Learning and AI10 de mar de 2026

  LocationSeattle

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  • ShareML Applied Scientist, Apple Services Engineering AI/ML 200650473-3337

  • Role Number:  200650473-3337
  • Weekly Hours: 40 Hours

  The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple’s long-held passion for combining art with technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 40 languages to more than 170 countries. Our scientists and engineers build secure, end-to-end solutions powered by Artifical Intelligence & Machine Learning. Thanks to Apple’s unique integration of hardwa...

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• Staff Applied Research and ML , Responsible AI and Safety

  Machine Learning and AI09 de mar de 2026

  LocationSeattle

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  • ShareStaff Applied Research and ML , Responsible AI and Safety 200650850-3337

  • Role Number:  200650850-3337
  • Weekly Hours: 40 Hours

  Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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• AIML - ML Research Scientist, HCMI

  Machine Learning and AI09 de mar de 2026

  LocationSeattle

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  • ShareAIML - ML Research Scientist, HCMI 200642850-3337

  • Role Number:  200642850-3337
  • Weekly Hours: 40 Hours

  We're seeking a ML Research Scientist to join the UI Understanding team within AIML. The UI understanding team tackles challenges at the intersection of ML and HCI, with a focus on automated understanding, interaction, evaluation and generation of graphical user interfaces of all kinds across all Apple platforms. Research Scientists in our team collaborate with ML Engineers, Software Engineers, and other specialists to tackle significant technical and human-centered challenges, develop and deploy technologies using Machine Learning, and collaborate with partner teams across Apple to ship in...

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• Machine Learning Research Scientist - Health AIML

  Machine Learning and AI04 de mar de 2026

  LocationSeattle

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  • ShareMachine Learning Research Scientist - Health AIML 200649925-3337

  • Role Number:  200649925-3337
  • Weekly Hours: 40 Hours

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• AIML - Senior ML Researcher in Foundation Models, Responsible AI

  Machine Learning and AI20 de feb de 2026

  LocationSeattle

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  • ShareAIML - Senior ML Researcher in Foundation Models, Responsible AI 200647859-3337

  • Role Number:  200647859-3337
  • Weekly Hours: 40 Hours

  Join us as we build world-class groundbreaking products for our customers! Apple's Responsible AI and Safety team is looking to hire a technical lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.

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